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accession-icon GSE7459
IL-6 induced changes in gene expression in activated mouse CD4+ T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

IL-6, a proinflammtory cytokine produced by antigen presenting cells and non-hematopoietic cells in response to external stimuli, acts as an important bridge between the innate and adaptive immune responses. IL-6 together with IL-4 can promote Th2 polarization, while in combination with TGFbeta mediates Th17 differentiation. We examined early changes in gene expression in mouse CD4+ T cells induced by IL-6.

Publication Title

The induction of antibody production by IL-6 is indirectly mediated by IL-21 produced by CD4+ T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46362
Expression data from ETV6-RUNX1-positive Reh leukemic cells after overexpression of miR-125b, miR-100 and miR-99a levels in different combinations
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Combined overexpression of miR-125b with miR-99a and/or miR-100 induced VCR resistance in ETV6-RUNX1-positive leukemic cells Reh.

Publication Title

MiR-125b, miR-100 and miR-99a co-regulate vincristine resistance in childhood acute lymphoblastic leukemia.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE97
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://biogps.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE96
Large-scale analysis of the human transcriptome
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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